March 2024 Turing-Roche Knowledge Share Event: Structured Missingness Challenges in Data Integration

An event series for the Turing-Roche Partnership, featuring updates, knowledge sharing and academic/industry perspectives. Find out more about the series here: www.turing.ac.uk/events/turin...
This is a recording of the event held in March 2024 which explored the challenges within data integration, through the lens of structured missing data.
This event features Vicky Hellon; Community Manager for the Turing-Roche Partnership, Robin Mitra; Associate Professor of Statistics at UCL and Eleni-Rosalina (Elrozy) Andrinopoulou; Assistant Professor in Biostatistics at Erasmus MC.
Robin discusses the fundamentals around missing data and structured missingness, whilst Elrozy provides a contextual setting for these issues with application in Cystic Fibrosis.
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0:00 Intro
0:27 Introduction to the partnership and the speakers
3:58 Robin Mitra talk intro
5:25 Background to missing data
8:10 Introducing the concept of structured missingness
10:30 Example of structured missingness with PSA
14:25 Structured missingness in data integration
17:31 Simulating data generation
19:00 Integrating predictions via imputation
20:16 Non-integrated predictions
23:24 Eleni-Rosalina (Elrozy) Andrinopoulou talk intro
24:35 Intro to the Cystic Fibrosis dataset
26:01 How do we handle patient drop-out in this dataset
27:31 Illustrating simulated missing data
29:20 Joint modelling of longitudinal and survival data
30:02 Using modelling for the best place to live with Cystic Fibrosis
34:07 Evaluating the prediction models
35:14 Integrating different types of info to improve the models
39:05 Talk conclusion
41:41 Q&A Session